Upload deploy_llava.ipynb with huggingface_hub

deploy_llava.ipynb

@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,9 +51,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "sagemaker.config INFO - Not applying SDK defaults from location: /Library/Application Support/sagemaker/config.yaml\n",
+      "sagemaker.config INFO - Not applying SDK defaults from location: /Users/tom/Library/Application Support/sagemaker/config.yaml\n",
+      "sagemaker.config INFO - Not applying SDK defaults from location: /Library/Application Support/sagemaker/config.yaml\n",
+      "sagemaker.config INFO - Not applying SDK defaults from location: /Users/tom/Library/Application Support/sagemaker/config.yaml\n",
+      "sagemaker.config INFO - Not applying SDK defaults from location: /Library/Application Support/sagemaker/config.yaml\n",
+      "sagemaker.config INFO - Not applying SDK defaults from location: /Users/tom/Library/Application Support/sagemaker/config.yaml\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Couldn't call 'get_role' to get Role ARN from role name arn:aws:iam::297308036828:root to get Role path.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "sagemaker.config INFO - Not applying SDK defaults from location: /Library/Application Support/sagemaker/config.yaml\n",
+      "sagemaker.config INFO - Not applying SDK defaults from location: /Users/tom/Library/Application Support/sagemaker/config.yaml\n",
+      "sagemaker role arn: arn:aws:iam::297308036828:role/service-role/AmazonSageMaker-ExecutionRole-20231008T201275\n",
+      "sagemaker bucket: sagemaker-us-west-2-297308036828\n",
+      "sagemaker session region: us-west-2\n"
+     ]
+    }
+   ],
    "source": [
     "import sagemaker\n",
     "import boto3\n",
@@ -88,9 +119,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "sagemaker.config INFO - Not applying SDK defaults from location: /Library/Application Support/sagemaker/config.yaml\n",
+      "sagemaker.config INFO - Not applying SDK defaults from location: /Users/tom/Library/Application Support/sagemaker/config.yaml\n",
+      "model uploaded to: s3://sagemaker-us-west-2-297308036828/llava-v1.5-7b/model.tar.gz\n"
+     ]
+    }
+   ],
    "source": [
     "from sagemaker.s3 import S3Uploader\n",
     "\n",
@@ -109,7 +150,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -120,7 +161,7 @@
       "sagemaker.config INFO - Not applying SDK defaults from location: /Users/tom/Library/Application Support/sagemaker/config.yaml\n",
       "sagemaker.config INFO - Not applying SDK defaults from location: /Library/Application Support/sagemaker/config.yaml\n",
       "sagemaker.config INFO - Not applying SDK defaults from location: /Users/tom/Library/Application Support/sagemaker/config.yaml\n",
-      "---------------!"
+      "-----------------!"
      ]
     }
    ],
@@ -156,14 +197,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The image is a black and white photograph of a man standing in front of a building. The man is wearing a suit and tie, and he appears to be looking at the camera. The building in the background is large and has many windows. The overall atmosphere of the image is formal and professional.\n"
+      "The image features a red and black toy horse with a pair of glasses on its face. The horse is wearing a pair of red glasses, which adds a unique and quirky touch to the toy. The horse's legs are also painted in red and black colors, further enhancing its appearance. The toy horse is standing on a grey surface, which serves as a backdrop for the scene.\n"
      ]
     }
    ],
@@ -173,7 +214,7 @@
     "    \"question\" : \"Describe the image and color details.\",\n",
     "    # \"max_new_tokens\" : 1024,\n",
     "    # \"temperature\" : 0.2,\n",
-    "    # \"stop_str\" : \"###\"\n",
+    "    # \"conv_mode\" : \"llava_v1\"\n",
     "}\n",
     "\n",
     "# request\n",
@@ -181,55 +222,6 @@
     "print(output)"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "To run inference with `llava` special token:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The image features a red toy animal, possibly a horse or a donkey, with a pair of glasses on its face. The toy is made of plastic and has a fire-like appearance, giving it a unique and eye-catching look. The red color of the toy and the glasses on its face create a striking contrast against the background, making it the main focus of the image.\n"
-     ]
-    }
-   ],
-   "source": [
-    "from llava.conversation import conv_templates, SeparatorStyle\n",
-    "from llava.constants import (\n",
-    "DEFAULT_IMAGE_TOKEN,\n",
-    "DEFAULT_IM_START_TOKEN,\n",
-    "DEFAULT_IM_END_TOKEN,\n",
-    ")\n",
-    "def get_prompt(raw_prompt):\n",
-    "    conv_mode = \"llava_v1\"\n",
-    "    conv = conv_templates[conv_mode].copy()\n",
-    "    roles = conv.roles\n",
-    "    inp = f\"{roles[0]}: {raw_prompt}\"\n",
-    "    inp = (\n",
-    "        DEFAULT_IM_START_TOKEN + DEFAULT_IMAGE_TOKEN + DEFAULT_IM_END_TOKEN + \"\\n\" + inp\n",
-    "    )\n",
-    "    conv.append_message(conv.roles[0], inp)\n",
-    "    conv.append_message(conv.roles[1], None)\n",
-    "    prompt = conv.get_prompt()\n",
-    "    stop_str = conv.sep if conv.sep_style != SeparatorStyle.TWO else conv.sep2\n",
-    "    return prompt, stop_str\n",
-    "\n",
-    "raw_prompt = \"Describe the image and color details.\"\n",
-    "prompt, stop_str = get_prompt(raw_prompt)\n",
-    "image_path = \"https://raw.githubusercontent.com/haotian-liu/LLaVA/main/images/llava_logo.png\"\n",
-    "data = {\"image\" : image_path, \"question\" : prompt, \"stop_str\" : stop_str}\n",
-    "output = predictor.predict(data)\n",
-    "print(output)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -279,28 +271,6 @@
     ")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The image features a small toy animal, resembling a horse or a donkey, with a red and orange color scheme. The toy has a pair of glasses on its face, giving it a unique and quirky appearance. The toy is standing on a gray surface, which provides a contrasting background for the vibrant colors of the toy. The combination of red, orange, and gray creates a visually striking scene.\n"
-     ]
-    }
-   ],
-   "source": [
-    "raw_prompt = \"Describe the image and color details.\"\n",
-    "prompt, stop_str = get_prompt(raw_prompt)\n",
-    "image_path = \"https://raw.githubusercontent.com/haotian-liu/LLaVA/main/images/llava_logo.png\"\n",
-    "data = {\"image\" : image_path, \"question\" : prompt, \"stop_str\" : stop_str}\n",
-    "output = predictor2.predict(data)\n",
-    "print(output)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -315,6 +285,7 @@
    "outputs": [],
    "source": [
     "# delete sagemaker endpoint\n",
+    "predictor.delete_model()\n",
     "predictor.delete_endpoint()"
    ]
   }